Hyperspectral image classification is a critical task in remote sensing, but existing methods often employ fixed feature fusion strategies, making it difficult to adapt to the data characteristics of ...
A key limitation of existing feature fusion methods is their static nature: they learn dataset-specific integration policies during training that remain fixed at inference. This restricts adaptability ...
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